Reply - AI/ML Engineer (AWS)
Requirements
• Must be US Citizen or green card holder • Bachelor’s degree in Computer Science, Engineering, or related field. • 3 years experience delivering machine learning or AI-based solutions in production settigs. • 3 years experience programming in Python or a comparable language. • 3 years experience working with large language models or Generative AI technologies. • 3 years experience building and deploying solutions in AWS environments. • 3 years experience establishing automated build, test, and release workflows for ML or data-driven applications. • 3 years experience supporting deployed models, including monitoring performance and managing updates. • Master’s degree or higher in Computer Science, Engineering, or related field. • Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures. • Experience designing distributed systems or working within cloud-based environments. • Experience integrating AI capabilities into customer-facing or enterprise applications. • Experience working in Agile development environments. • AWS certification
Responsibilities
• Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities. • Create, evaluate, and deploy machine learning solutions, including applications powered by large language models. • Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability. • Partner with product and engineering teams to translate business needs into practical, deployable AI solutions. • Integrate machine learning components into existing platforms and services. • Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions. • Monitor performance in production environments and refine systems based on real-world usage.
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